op {
  graph_op_name: "BoostedTreesCenterBias"
  visibility: HIDDEN
  in_arg {
    name: "tree_ensemble_handle"
    description: <<END
Handle to the tree ensemble.
END
  }
  in_arg {
    name: "mean_gradients"
    description: <<END
A tensor with shape=[logits_dimension] with mean of gradients for a first node.
END
  }
  in_arg {
    name: "mean_hessians"
    description: <<END
A tensor with shape=[logits_dimension] mean of hessians for a first node.
END
  }
in_arg {
    name: "l1"
    description: <<END
l1 regularization factor on leaf weights, per instance based.
END
  }
  in_arg {
    name: "l2"
    description: <<END
l2 regularization factor on leaf weights, per instance based.
END
  }
  out_arg {
    name: "continue_centering"
    description: <<END
Bool, whether to continue bias centering.
END
  }
  summary: "Calculates the prior from the training data (the bias) and fills in the first node with the logits' prior. Returns a boolean indicating whether to continue centering."
}